canonical: https://jentic.com/apis/airroi.com/airroi # Airroi Airbnb API & Short-Term Rental Data API | AirROI The AirROI API delivers short-term rental market data and revenue analytics for Airbnb and vacation rental properties. It returns property-level detail for individual listings, finds comparable listings, and searches a market by name, radius, or polygon, while its market endpoints report occupancy, average daily rate, RevPAR, revenue, booking lead time, and length of stay. On top of the raw data it estimates a listing's revenue potential and recommends a base price and calendar prices. ## For AI agents Pull short-term rental data for Airbnb listings and markets, find comparables, read occupancy and RevPAR metrics, estimate revenue potential, and get price recommendations. ## Scope Does not handle booking, payments, or property management. Use for short-term rental market data and pricing analytics only. ## Capabilities - Retrieve property-level detail for a single short-term rental listing - Find comparable listings for a given property - Search listings within a named market, radius, or map polygon - Report market metrics including occupancy, average daily rate, and RevPAR - Estimate a listing's revenue potential for an area - Recommend a base price and calendar prices for a listing ## Use cases ### Agent-driven rental investment research An AI agent connected through Jentic researches a short-term rental opportunity end to end: it looks up the market, estimates revenue potential, pulls occupancy and average daily rate, and gathers comparable listings. Because the agent finds operations by intent, it can answer 'is this a good market to buy in' from live AirROI data without a developer wiring each metric call. Example prompt: Look up a market by name, estimate revenue potential for a three-bedroom listing there, and return occupancy and average daily rate for that market ### Dynamic pricing recommendations Property managers can let an agent price a listing from market data: the API recommends a base price and per-night calendar prices informed by live rates and demand. The agent reads a listing's future rates and comparable listings, then applies the recommended prices, turning a manual pricing review into an automated one grounded in AirROI's market analytics. Example prompt: Fetch comparable listings for a property, request a recommended base price, and return calendar prices for the next 30 nights ### Market benchmarking reports The market endpoints let an agent benchmark an area across occupancy, revenue, booking lead time, length of stay, and active listing counts. An agent can assemble a market summary that a report or dashboard cites, giving analysts a current read on supply and demand without scraping listing sites by hand. Example prompt: Request a market summary and the occupancy and revenue metrics for a city, then return a benchmark of supply and demand ## Key endpoints | Method | Path | Description | | --- | --- | --- | | GET | `/listings` | Retrieve a single listing | | GET | `/listings/comparables` | Get comparable listings | | POST | `/listings/search/market` | Search listings by market | | GET | `/calculator/estimate` | Estimate a listing's revenue potential | | POST | `/price-recommendation/base-price` | Recommend a base price | | GET | `/markets/search` | Find a market by name | | POST | `/markets/summary` | Get a market summary | | POST | `/markets/metrics/occupancy` | Get market occupancy | ## Key resources - **Listings** — Retrieve single and comparable listings, search markets, and read live rates and availability - **Markets** — Search markets and report occupancy, average daily rate, RevPAR, revenue, and pacing - **Calculator** — Estimate a listing's revenue potential for an area - **Price Recommendation** — Recommend a base price and per-night calendar prices ## AI readiness This API is usable in Jentic One now. Its AI-readiness score against Jentic's framework shows where it stands today and where improvements would make it even easier for agents to use. - **Score:** 67 / 100 - **Maturity:** AI-Aware - **Dimensions:** - Foundational Compliance: 62 / 100 - Developer Experience & Jentic Compatibility: 73 / 100 - AI-Readiness & Agent Experience: 62 / 100 - Agent Usability: 94 / 100 - Security: 50 / 100 - AI Discoverability: 65 / 100 - **View full report:** https://jentic.com/apis/airroi.com/airroi/scorecard - **How the score is calculated:** https://docs.jentic.com/reference/api-readiness-framework/overview/ - **More about the dimensions:** https://docs.jentic.com/reference/api-readiness-framework/specification/#dimensional-model-overview ### Score it yourself Every API in the directory is allowlisted, so you can re-score it with no key required. - **Score your own API:** https://jentic.com/scorecard.md - **Scoring CLI agent skill:** https://github.com/jentic/jentic-api-scorecard/blob/main/skills/jentic-api-scorecard/SKILL.md ```sh npx @jentic/api-scorecard-cli score ``` ## Why Jentic - **Setup:** Wiring the AirROI API by hand means handling its x-api-key auth and learning its listing and market query shapes before you can pull a single metric. Through Jentic you install once, import the API from the Directory, store the key once, and your agent calls it. - **Permission scoping:** The AirROI API is read-only market data whose queries travel in the request body, so a rule bounds which operations your agent may call: you can allow listing and market reads while leaving anything else out unless you add it. You choose the operations it may use. - **Credential handling:** Your AirROI API key is stored once, encrypted, by your own Jentic One instance and injected at execution time. It never enters the agent's prompt, logs, or context. - **Discovery method:** Agents search Jentic by intent such as 'estimate rental revenue' or 'get market occupancy', and Jentic returns the matching AirROI operation with its input schema so the agent calls the right endpoint without browsing the reference docs. ## Related APIs - **Booking.com** — Booking.com exposes accommodation listings and availability as another source of short-term rental market signal - **BookingSync** — BookingSync manages vacation rental bookings and calendars that AirROI's pricing data can inform ## FAQ ### What authentication does the AirROI API use? The AirROI API authenticates with an API key sent in the x-api-key request header, as declared in its OpenAPI spec. Through Jentic the key is stored once by your own self-hosted instance and injected at call time, so it never appears in the agent's prompt or logs. ### Can I estimate rental revenue with the AirROI API? Yes. The calculator estimates a listing's revenue potential for an area, and the price-recommendation endpoints return a base price and per-night calendar prices. You can combine these with comparable listings and market occupancy to ground an investment or pricing decision. ### Is there an AirROI MCP server? You do not need an MCP server to give your agent the AirROI API. Jentic connects it directly from the API Directory: import the API, store your API key once, and your agent calls listing and market operations on demand without loading another server's tool definitions into its context. ### Can I limit what my agent is allowed to do with the AirROI API? Yes. Write a rule that allows only the read operations for listings and market metrics, so the agent can research and benchmark markets but cannot call anything you did not approve, and every call it makes is logged for review. The AirROI API is read-only market data, so scoping keeps the agent to the queries you intend. ### What are the rate limits for the AirROI API? The OpenAPI spec does not state numeric rate limits for the AirROI API. Check the vendor documentation at https://www.airroi.com for current limits before running large batch or scan workloads. ### How do I get a revenue estimate from the AirROI API through Jentic? Search Jentic for an intent such as 'estimate rental revenue', and it returns the matching operation with its input schema so your agent passes the location and listing details correctly. To run it on your own infrastructure, install Jentic One from its GitHub repo.